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A list of all pages that have property "What are the best practices?" with value "'''Data organization''' Data should be organized in a logical and structured way. Within research groups, consensus on naming and organizing data and files can help in structuring data. The University of Cambridge has provided [https://www.data.cam.ac.uk/data-management-guide/organising-your-data this resource] which provides a good oversight of what you should keep in mind for naming files, organizing folders and more. In addition, they collected various resources [https://www.data.cam.ac.uk/support/external that can support in data management]. '''Pseudonymization''' When performing research involving human subjects, participants should be pseudonymized or anonymized. Pseudonymization removes the information that would allow for identification of inspaniduals from a dataset. The main researchers have access to an encryption key. When John Smith, aged 31 and Jane Doe, aged 25 are in your data set, you should not pseudonymize with ‘JS31’ and ‘JD25’. Correct pseudonymization is naming them, for example, participants 001 and 002. According to the GDPR, “‘personal data’ means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person”. '"`UNIQ--ref-0000036F-QINU`"' '"`UNIQ--references-00000370-QINU`"'". Since there have been only a few results, also nearby values are displayed.

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Inadequately handle or store data or (bio)materials + ('''Data organization''' Data should be or … '''Data organization'''Data should be organized in a logical and structured way. Within research groups, consensus on naming and organizing data and files can help in structuring data. The University of Cambridge has provided [https://www.data.cam.ac.uk/data-management-guide/organising-your-data this resource] which provides a good oversight of what you should keep in mind for naming files, organizing folders and more. In addition, they collected various resources [https://www.data.cam.ac.uk/support/external that can support in data management].'''Pseudonymization'''When performing research involving human subjects, participants should be pseudonymized or anonymized. Pseudonymization removes the information that would allow for identification of individuals from a dataset. The main researchers have access to an encryption key. When John Smith, aged 31 and Jane Doe, aged 25 are in your data set, you should not pseudonymize with ‘JS31’ and ‘JD25’. Correct pseudonymization is naming them, for example, participants 001 and 002. According to the GDPR, “‘personal data’ means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person”. '"`UNIQ--ref-0000036F-QINU`"' '"`UNIQ--references-00000370-QINU`"'lt;br /> '"`UNIQ--references-00000370-QINU`"')

Inadequately handle or store data or (bio)materials +